[NIPS2018 笔记] Stacked Semantics-Guided Attention Model for Fine-Grained Zero-Shot Learning

时间 2021-01-17

标签 NIPS 2018 attention model zero-shot fine-grained zsl 繁體版

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论文下载地址 Abstract: Zero-Shot Learning (ZSL) is achieved via aligning the semantic relationships between the global image feature vector and the corresponding class semantic descriptions. However, using

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1. 《Stacked Cross Attention for Image-Text Matching》
2. Stacked Attention Networks for Image Question Answering阅读笔记
3. A3M：Attribute-Aware Attention Model for Fine-grained Representation Learning
4. VQA1-2016-Stacked Attention Networks for Image Question Answering
5. Stacked Latent Attention for Multimodal Reasoning [CVPR 2018]
6. recurrent model for visual attention
7. 《A Multi-task Learning Model for Chinese-oriented Aspect Polarity Classification and Aspect Term》笔记
8. 论文笔记：Heterogeneous Memory Enhanced Multimodal Attention Model for Video Question Answering
9. Mask-guided Contrastive Attention Model for Person Re-Identification学习笔记
10. [文献笔记]An Unsupervised Neural Attention Model for Aspect Extraction -- Ruidan He et al.

>>更多相关文章<<